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Introduction Multi-agent systems are becoming the go-to architecture for complex AI workloads. Instead of one monolithic agent doing everything, teams decompose capabilities into specialized agents — each with its own domain expertise, deployment pipeline, and release cadence. This approach mirrors the microservice …
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If an agent isn't doing the right thing, the obvious move is to make the docs clearer. Add a tip, spell out the correct command, describe the right approach more prominently. You do all of that, and the agent still ignores it. It does what it had already decided to do. The tip wasn't ignored because it was unclear, it …
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Pure Virtual C++ is back! For the 7th year running, we're hosting a free, one-day virtual conference for the whole C++ community. Whether you joined us back in 2020 when we first launched or you're discovering the Link to article: https://devblogs.microsoft.com/cppblog/save-the-date-pure-virtual-cpp-2026
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EF Core vs Dapper in .NET 10 -- compare performance, query control, migrations, learning curve, and a decision matrix to pick the right ORM for your project. Link to article: https://www.devleader.ca/2026/06/25/ef-core-vs-dapper-in-net-when-to-use-each
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Learn when, where, and how to generate SBOMs for container images. Covers build-time vs. post-build approaches, quality criteria, and CI/CD integration. Link to article: https://www.docker.com/blog/sbom-generation-for-container-workflows/
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AI is already changing how teams build software, and the biggest shift goes beyond writing code faster. It’s reshaping the full software lifecycle, from planning and development to security, operations, and modernization. Inside Microsoft, we build and run software at massive scale, across every kind of codebase, and …
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In this technical collaboration between AWS and the authors, we present a pragmatic solution: agentic overlays. Agentic overlays are thin wrapper layers that transform traditional REST-based services into agents capable of participating in A2A interactions. They also expose REST APIs as tools compatible with the Model …
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This post shows you how to configure training jobs on Amazon SageMaker AI to get the most out of Blackwell’s architecture on AWS. You learn how to select batch sizes and sequence lengths that take advantage of Blackwell’s expanded memory, choose the right precision format for your model size (1B to 64B parameters), and …
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In this post, we demonstrate how to implement video upscaling using SeedVR2 on SageMaker AI. We cover the solution architecture, walk through the deployment steps, and show performance comparisons that highlight the quality improvements and processing efficiency you can achieve. By the end of this post, you’ll have the …
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In this post, we show you how to build Chaplin (Customer Health and Planned Lifecycle Intelligence Nexus), an open source solution that uses AI agents exposed through the Model Context Protocol (MCP) to provide self-service health event analytics. Link to article: …
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This post shows how to build a governed, serverless data mesh on AWS that provides the secure, scalable data foundation production agentic AI requires. Link to article: https://aws.amazon.com/blogs/machine-learning/building-agentic-ai-applications-with-a-modern-data-mesh-strategy-on-aws/
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Learn what the EU Cyber Resilience Act requires, including SBOM mandates, vulnerability reporting, and compliance deadlines for container teams. Link to article: https://www.docker.com/blog/eu-cyber-resilience-act-overview/
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Modern development has shifted one old IDE paradigm significantly: Now, not only is it possible that a project is not hosted on the same physical or remote machine as your IDE instance, it could even be that both share the same host but are separated from one another inside isolated environments. If you are a […] Link …
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When news broke that SpaceX would acquire Cursor’s parent company, Anysphere, in a reported $60 billion all-stock deal, most of the discussion centered around AI. This was another milestone and enormous valuation, and signal that AI is still bringing enormous disruption. Those reactions aren’t wrong but they can …
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JetBrains AI supports multiple coding agents, including Junie, Codex, Claude Agent, and any ACP-compatible agent you bring yourself. Previously, AI users in JetBrains IDEs started in Chat mode and had to choose an agent themselves. As models became more advanced, agents became more capable and their adoption grew. We …
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Starting with the Toolbox App 3.6 Early Access Program (EAP), SSH connections to remote environments use the JetBrains Daemon (jetbrainsd) by default. We’re making this change available in the EAP first because jetbrainsd is becoming the shared background service for JetBrains tools. Moving SSH there helps us validate …
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Here’s a case worth pondering: your app freezes for ten seconds, and you ask an AI agent what’s wrong. What does it actually do? For a long time the honest answer was: it rummages through your code and takes a wild guess. A snapshot taken by a profiler tool is runtime evidence. It knows exactly […] Link to article: …
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"If we give it no flavor, we can say that it's really subtle." Link to article: https://devblogs.microsoft.com/oldnewthing/20260625-01/?p=112469
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The team responsible for shell32.dll received a bug saying that they were responsible for a large number of crashes in a particular third party program. Opening the crash dumps showed the clear signs of a stack overflow: # Child-SP RetAddr Call Site Link to article: …
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In the previous post in the series, we covered the security decisions you make on day one. In this part, we will talk about how to give your app access to Cosmos DB data, using roles and a managed identity instead of keys Link to article: …
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